| 基于优化熵函数二维最大熵阈值算法改进 |
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| 引用本文： | 杨姝,高立群,边丽英. 基于优化熵函数二维最大熵阈值算法改进[J]. 系统仿真学报, 2005, 17(6): 1350-1352 |
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| 作者姓名： | 杨姝 高立群 边丽英 |
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| 作者单位： | 1. 东北大学教育部暨辽宁省流程工业综合自动化重点实验室,沈阳,110004;沈阳师范大学信息技术学院,沈阳,110034
2. 东北大学教育部暨辽宁省流程工业综合自动化重点实验室,沈阳,110004 |
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| 基金项目： | 公安部重点项目(20029322301) |
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| 摘 要： | 根据熵函数在等概率场下取到最大值性质，对二维最大熵阈值法中的熵函数进行优化，将熵函数中对数和乘积运算简化为减法运算，得到目标函数具有意义明确、形式简洁、计算速度快的二维阈值自动选取方法。该法在保持二维最大熵阈值法对图像分割效果同时，又大大提高阈值选取速度，增强算法实时处理能力。这些结论正确性，既从理论推导过程中得到证明，也从对足迹图像分割的大量实验中得到验证。这种方法是保持二维最大熵阈值法分割效果不变、具有更快计算速度和实时处理能力、并在足迹图像分割中得到较好应用的一种自动阈值选取方法。
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| 关 键 词： | 最大熵 阈值 图像分割 二维直方图 |
| 文章编号： | 1004-731X(2005)06-1350-03 |
| 修稿时间： | 2004-03-20 |
Improvement of 2-D Maximum Entropy Threshold Algorithm Based on Optimal Entropy Function |
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| YANG Shu,GAO Li-qun,BIAN Li-ying. Improvement of 2-D Maximum Entropy Threshold Algorithm Based on Optimal Entropy Function[J]. Journal of System Simulation, 2005, 17(6): 1350-1352 |
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| Authors: | YANG Shu GAO Li-qun BIAN Li-ying |
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| Affiliation: | YANG Shu1,2,GAO Li-qun 2,BIAN Li-ying1,2 |
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| Abstract: | According to the property that the equivalent probability distributing has maximum entropy to get image threshold, this paper proposes an automatic threshing of two-dimensional maximum entropy approach, which optimizes entropy function of 2-D maximum entropy threshold by using subtraction instead of logarithm and multiplication. This approach gets the same result of image segmentation as 2-D maximum entropy threshold does and the computational time decreases at least by 15% on average. These results are proved theoretically and verified practically in a lot of footprint image segmentation experiments. This method of threshold automatic selection gets the same result of image segmentation as 2-D maximum entropy threshold does, but at a faster speed, therefore will find a wide application in footprint image segmentation. |
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| Keywords: | maximum entropy threshold image segmentation two-dimension histogram |
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